Hey everyone!

We are looking for a highly skilled Python Tech Lead to join our dynamic team.

The ideal candidate will have 7+ years of experience in software development and expertise in Flask, FastAPI, Django, Docker, MySQL, PostgreSQL, MongoDB, Redis, Kafka, Kubernetes, AWS, GCP, Linux, VCS, and CI/CD pipelines.

The role requires strong leadership capabilities to drive the technical roadmap, mentor junior developers, and ensure best practices in software development.

Experience with AI/ML for at least 1 year is a plus.

Python Tech Lead.

Location : Gurgaon.

Experience : 7-8 Years.

Job Type : Full-time.

Job Summary :

Key Responsibilities :

- Technical Leadership : Lead the design, development, and deployment of scalable Python applications.

- Architecture & Design : Architect, develop, and optimize backend services using Flask and FastAPI.

- Database Management : Work with relational and NoSQL databases such as MySQL, PostgreSQL, and MongoDB.

- Caching & Message Queues : Implement caching strategies using Redis and manage event-driven architecture with Kafka.

- Containerization & Orchestration : Deploy applications using Docker and Kubernetes.

- Cloud Services : Manage deployments on AWS and GCP, optimizing cost and performance.

- DevOps & CI/CD : Implement and maintain CI/CD pipelines for smooth software delivery.

- System Administration : Work with Linux environments for scripting, automation, and server management.

- Version Control : Ensure best practices in code management using VCS (Git, GitHub, GitLab, or Bitbucket).

- Mentorship : Guide and mentor junior developers, conduct code reviews, and enforce development best practices.

- AI/ML Integration (Good to Have) : Collaborate with AI/ML engineers to integrate ML models into Python applications.

Required Skills & Qualifications :

- 7-8 years of professional experience in Python development.

- Strong experience with Flask and FastAPI.

- Expertise in SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB).

- Hands-on experience with Redis and Kafka.

- Proficiency in Docker and Kubernetes for containerization and orchestration.

- Experience deploying applications on AWS and GCP.

- Solid understanding of Linux administration.

- Strong knowledge of CI/CD pipelines and DevOps practices.

- Experience with Git and version control systems.

- Excellent problem-solving and debugging skills.

- Strong leadership, communication, and mentorship abilities.

- Good to Have : At least 1 year of experience in AI/ML.

Preferred Qualifications :

- Experience in microservices architecture.

- Familiarity with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.

- Exposure to security best practices in cloud and backend development.